Novel decision aid model for green supplier selection based on extended EDAS approach under pythagorean fuzzy Z-numbers

Novel decision aid model for green supplier selection based on extended EDAS approach under pythagorean fuzzy Z-numbers

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The main objective of this study is 14b-ca0013dx to identify the green suppliers that would most effectively assist manufacturing producers in implementing green manufacturing production while including uncertainty and reliability in their decision-making.For this firstly, we justify and manifest the idea of Pythagorean Fuzzy Z-numbers (PyFZNs).It has significant implications for improving the effectiveness of decision-making processes in several theories of uncertainty.It can more flexibly explain real-world data and human cognition due to its capacity to express imprecise and reliable information.

Thus it is a more accurate mathematical tool for addressing accuracy and uncertainty.Secondly, 2006 scion xa catalytic converter we defined the Pythagorean fuzzy Z-number arithmetic aggregation operators and geometric aggregation operators.Thirdly, based on the proposed operators and EDAS (Evaluation based on distance from average solution) approach, a fast decision model is designed to deal with the issue of multi-criteria decision-making.Finally, using PyFZN data we also provide a numerical example to demonstrate the usability of the created multicriteria decision-making (MDM) approach.

Moreover, a case study also proves its efficacy.